文章基本信息

标题：Face Tracking Technique Using Cke And Cca
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作者：Veena alphonsa jose ; S.Saravanan
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：In video surveillance, the faces of interest are often of small size. Image resolution is an important factor affecting face recognition by human and computer. In existing system a feature extraction method called coupled kernel embedding (CKE) is used for LR face recognition. The final kernel matrix is constructed by concatenating two individual kernel matrices in the diagonal direction. CKE solves this problem by minimizing the dissimilarities captured by their kernel Gram matrices. In the proposed system canonical correlation analysis (CCA) algorithm, also called Local discrimination CCA (LDCCA) along with coupled kernel embedding (CKE) is used for LR & HR face image recognition. . LDCCA method considers a combination of local properties and discriminatio n between classes.CCA can extract the features even though there is a wound in the face . In the proposed system the time complexity will be reduced.Automatic face recognition has long been established as one of the most active research areas in computer vision
关键词：Face Recognition; Feature Extraction; CKE; CCA; Low Resolution; Super Resolution.